class_docstr: Base class for detectors.
docstr: Extract features from images.
docstr_tok: ["Extract","features","from","images","."]
code: def extract_feat(self, imgs):
      """Extract features from images."""
      pass
  
imports: from abc import ABCMeta, abstractmethod
  from collections import OrderedDict
  import mmcv
  import numpy
  import torch
  import torch.distributed
  import torch.nn
  from mmcv.runner import auto_fp16
  from mmcv.utils import print_log
  from mmdet.utils import get_root_logger
label_desc: Use image node_id 6 for calling the BaseDetector obj's underlying member method code with example usage: obj.extract_feat(imgs) without return types